76 to 100 of 2,423 SQL Jobs in the UK

Studio, VA, VI). Familiarity with Platform LSF , Jira , and GIT . Hands-on experience with ETL tools: Pentaho , Talend . Data virtualization experience with Denodo . Proficiency in SQL and data modeling. Knowledge of Oracle (nice to have). Solid understanding of Agile/Scrum frameworks. Experience with DevOps tools (Jenkins, Git, Docker, Kubernetes). Excellent problem-solving and More ❯

at least one of: Python, C++, C#, Java, or JavaScript Curiosity and problem-solving mindset — you love figuring things out Comfortable learning new technologies quickly Bonus: experience with Git, SQL, or personal projects you can show off Why You’ll Love It Here Impact: You’ll write code that ships — not sit on sidelines Growth: Weekly mentoring, technical training, and More ❯

reviews, sprint planning, code reviews, and knowledge sharing. Requirements: Strong experience in backend systems and technologies, such as .NET 8 or 9, C# or Golang etc Experience in various SQL dialects, including MySQL, MSSQL, PostgreSQL Familiarity with Redis, ElasticSearch and REST APIs Experience with Windows-based development: services, scheduled tasks, web servers (e.g. IIS) Experience with containers such as Docker More ❯

and optimisation. Familiarity with derivatives pricing, risk metrics, and financial instruments across asset classes. Experience building low-latency systems and optimising performance for computational workloads. Proficient in working with SQL and managing large financial datasets. Knowledge of cloud platforms (Azure, AWS) and DevOps tools (Git, CI/CD) desirable. Excellent problem-solving and analytical skills, with a keen attention to More ❯

platforms (Azure, AWS or GCP). Desirable: Background in recruitment or professional services. Knowledge of CRM/ATS systems and their integration with MDM platforms. Experience with Power BI, SQL or Python for data validation and reporting. Exposure to Microsoft Fabric. What's on Offer A genuine opportunity to build and own the organisation's MDM vision from the ground More ❯

and minimal downtime. Automate data ingestion, transformation, and validation processes. Stay up to date with emerging technologies and recommend system improvements. The skills you'll need: Strong proficiency in SQL and experience with relational databases. Hands-on experience building data pipelines and ETL processes. Proficiency in Python. Experience with cloud platforms (AWS, Azure, or GCP). Knowledge of data modelling More ❯

and minimal downtime. Automate data ingestion, transformation, and validation processes. Stay up to date with emerging technologies and recommend system improvements. The skills you'll need: Strong proficiency in SQL and experience with relational databases. Hands-on experience building data pipelines and ETL processes. Proficiency in Python. Experience with cloud platforms (AWS, Azure, or GCP). Knowledge of data modelling More ❯

background in data mining, pattern recognition, and anomaly detection to improve service delivery. Proficient in Python, R, or other relevant programming languages used for data science. Strong skills in SQL and experience working with large databases and data warehouses. Ability to create intuitive and informative visualisations using tools such as Power BI, Tableau, or similar platforms. Familiarity with cloud-based More ❯

background in data mining, pattern recognition, and anomaly detection to improve service delivery. Proficient in Python, R, or other relevant programming languages used for data science. Strong skills in SQL and experience working with large databases and data warehouses. Ability to create intuitive and informative visualisations using tools such as Power BI, Tableau, or similar platforms. Familiarity with cloud-based More ❯

to turn data into something powerful. You'll bring: 3+ years' experience in data engineering or cloud platform development (including Azure, AWS, GCP, Snowflake or Databricks) Strong proficiency in SQL and Python. Proven experience with CI/CD tools, DevOps, and automation practices. Solid understanding of data modelling, orchestration, and workflow management. A desire to lead by example and elevate More ❯

and implementing row-level security in BusinessObjects. It would also be desirable to have experience developing custom BI products that require knowledge of scripting languages and programming languages like SQL, R, and Python. The BusinessObjects XI Developer/Analyst should be familiar with business intelligence and data analytics. They should have prior knowledge of data integration, data warehousing, modeling, business More ❯

large-scale data processing and distributed computing frameworks. Knowledge of cloud platforms such as AWS, Azure, or GCP, with hands-on experience in cloud-based data services. Proficiency in SQL and Python for data manipulation and transformation. Experience with modern data engineering tools, including Apache Spark, Kafka, and Airflow. Strong understanding of data modelling, schema design, and data warehousing concepts. More ❯

a focus on cloud-based data pipelines and architectures Strong expertise in Microsoft Fabric and Databricks, including data pipeline development, data warehousing, and data lake management Proficiency in Python, SQL, Scala, or Java Experience with data processing frameworks such as Apache Spark, Apache Beam, or Azure Data Factory Strong understanding of data architecture principles, data modelling, and data governance Experience More ❯

hybrid). Skilled in data visualisation and storytelling - able to translate technical outputs into commercial insights for senior stakeholders. Technical fluency across: BI tools (e.g., Power BI, Tableau, Qlik) SQL and data engineering Python or R Cloud technologies (AWS, Azure, GCP) Strong communication and stakeholder management skills; comfortable influencing C suite clients. Advantageous competencies (but not essential): Exposure to AI More ❯

ownership from design through to implementation Understanding of socket programming (TCP/IP) Basic knowledge of encryption principles Proficient in version control using Git Technical Skills: C# NET Core SQL (strong knowledge) Linq2DB, Entity Framework Core RESTful APIs RabbitMQ/Kafka CQRS pattern NuGet package development and management JavaScript Docker/Kubernetes Git/DevOps tools Additional Information Your impact More ❯

a customer facing role, with 5 to 7 years of experience in pre-sales with enterprise software Minimum of 3 years experience with modern scripting languages (e.g. Python, Node.js, SQL) and/or popular programming languages (e.g. C/C++, Java, C#) in a professional capacity Experience designing with scalable and highly available distributed systems in the cloud and on More ❯

enterprise technologies Requirements Microsoft Dynamics 365 F&O certifications (e.g., Dynamics 365 Finance and Operations Core, Dynamics 365 Finance, Dynamics 365 Supply Chain Management). Proficiency in X , C#, SQL, and other relevant technologies. Deep understanding of Dynamics AX/D365 F&O and its ecosystem Experience managing or participating in Dynamics 365 F&O projects from initiation through deployment. More ❯

Work across Azure, SharePoint, Power Platform, and broader Microsoft cloud tools. Act as the go-to BI contact, running stakeholder reviews and supporting self-serve usage. Desirable Skills Python, SQL, or data warehouse experience. Experience in the healthcare sector. THIS ROLE CAN BE BASED REMOTELY More ❯

on Azure (AKS/ACI/Functions), CI/CD, and Infrastructure as Code (Bicep/Terraform). Data & Information Management Experience with relational/semi-structured database (MS SQL and Cosmos DB) and vector search indexing (Azure AI Search/pgvec More ❯

cloud environments. Strong proficiency in Azure Data Factory, Synapse Analytics, Databricks, and Azure SQL. Solid understanding of data modeling, ETL/ELT design, and data warehousing principles. Proficiency in SQL and Python for data transformation and automation. Experience working with version control (e.g., Git) and CI/CD for data solutions. Familiarity with data governance, metadata management, and data security More ❯

on experience with Databricks (PySpark, Delta Lake, cluster optimisation, job scheduling). Solid knowledge of Azure cloud services including: Azure Data Lake Storage Azure Data Factory Azure Synapse/SQL Pools Azure Key Vault Strong programming skills in Python and SQL. Experience building scalable, production-grade data pipelines. Understanding of data modelling, data warehousing concepts, and distributed computing. Familiarity with More ❯

on experience with Databricks (PySpark, Delta Lake, cluster optimisation, job scheduling). Solid knowledge of Azure cloud services including: Azure Data Lake Storage Azure Data Factory Azure Synapse/SQL Pools Azure Key Vault Strong programming skills in Python and SQL. Experience building scalable, production-grade data pipelines. Understanding of data modelling, data warehousing concepts, and distributed computing. Familiarity with More ❯

CI/CD) Strong understanding of Microsoft Fabric architecture and components Expertise in Microsoft Fabric Data Engineering Fabric Dataflows/Azure Data Factory Experience with Azure Synapse, Data Lake, SQL, and integration pipelines Desirable: Experience with other low-code or analytics platforms Knowledge of data governance frameworks and security models Microsoft certifications (e.g., Power BI Data Analyst Associate, DP More ❯

expertise in ML, AI, and GenAI tools. Key Skills and Experience: 1-3 years of relevant experience delivering parts of the data science lifecycle. Proficiency in Python (or R), SQL, and experience with notebooks, Git workflows, and Power BI. Working knowledge of supervised machine learning (e.g., gradient boosting, logistic regression), evaluation metrics, and experiment design. Exposure to MLOps concepts, cloud More ❯

like Tableau, Sigma Qlik, Domo, Power BI, Looker, or equivalent Strong understanding of UX/UI principles and visual storytelling through data Working knowledge of creating data connections - e.g. SQL and relational databases, DataBricks, JSON files, API services, Data Lakes Meticulous attention to detail with a user-first mindset Excellent communication and collaboration skills across technical and non-technical teams More ❯